Timeline-Based Machine Interface for Autonomous Route Adjustment
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Solution Overview
Problem
Conventional autonomous machines lack effective user interaction, leading to user uncertainty about future actions and decision-making processes, which decreases user confidence and comfort.
Innovation Solution
The development of an interactive user interface that receives machine status information and user input, allowing users to dynamically modify routes and understand machine actions through a timeline, communication layer, and indications, facilitating control over autonomous systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous machines operate with limited user input, then automation level is improved, but user confidence and understanding of machine decisions deteriorate
Solution Approach 1:
The system implements feedback by displaying a timeline showing the autonomous machine's planned actions, current status, and decision-making process to the user. This allows users to understand what the machine will do next and why, maintaining high automation while improving user comprehension and confidence through continuous information feedback about machine operations and decision rationale
Solution Approach 2:
The user interface acts as an intermediary between the autonomous machine's internal decision-making processes and the user. It translates complex machine status information and planned actions into comprehensible visual representations, enabling users to understand machine decisions without reducing automation level or requiring direct user control
2Loss of information
If users are provided with detailed machine status information, then user understanding is improved, but interface complexity increases
Solution Approach 1:
The interface segments machine status information into distinct, organized components displayed along a timeline. Each segment represents a specific action or status update, making complex information more digestible and easier to understand without overwhelming the user with undifferentiated data
Solution Approach 2:
The system organizes machine status information along a temporal dimension (timeline), transforming complex multi-dimensional data into a sequential, time-based representation. This allows users to understand machine decisions and status changes in the context of when they occur, simplifying the perception of complex operational states
Data Source
AI summary
Implementations described and claimed herein provide systems and methods for interaction between a user and a machine. In one implementation, machine status information for the machine is received at a dedicated machine component. The machine status information is published onto a distributed node system network of the machine. The machine status information is ingested at a primary interface controller, and an interactive user interface is generated using the primary interface controller. The interactive user interface is generated based on the machine status information. In some implementations, input is received from the user at the primary interface controller through the interactive user interface, and a corresponding action is delegated to one or more subsystems of the machine using the distributed node system network.